Triple
T1251748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenet |
E26890
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Hoyte van Hoytema |
E8986
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hoyte van Hoytema | Statement: [Tenet, cinematographer, Hoyte van Hoytema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoyte van Hoytema Context triple: [Tenet, cinematographer, Hoyte van Hoytema]
-
A.
Hoyte van Hoytema
chosen
Hoyte van Hoytema is a renowned Dutch-Swedish cinematographer known for his visually striking work on major films such as Interstellar, Dunkirk, Tenet, and Oppenheimer.
-
B.
Wally Pfister
Wally Pfister is an American cinematographer and director best known for his long-time collaboration with Christopher Nolan, including his Oscar-winning work on "Inception."
-
C.
Michael Cuesta
Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
-
D.
Gabriel Mann
Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
-
E.
Stephan Jost
Stephan Jost is a Canadian art museum director best known for leading the Art Gallery of Ontario in Toronto.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c66bf881908f4b63548341178e |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.